Maggie Hudson
@nanochemmaggie.bsky.social
Associate Editor @apsphysics.bsky.social | PRX Energy and Phys Rev Materials | loves solving problems, sharing ideas, hiking, and crossword puzzles | views my own
APS has a site that makes it easy to let your congresspeople know that you are concerned (read FREAKING OUT) about the proposed cuts to science funding in the US 🧪⚛️
The president's budget proposal cuts billions in funding from the DOE Office of Science, NIST, NASA, and the NSF — but there’s still time to change it. Tell your lawmakers why they should stand up for science using our letter-writing toolkit, targeted to your state: go.aps.org/3RP9EWF
May 2, 2025 at 10:01 PM
APS has a site that makes it easy to let your congresspeople know that you are concerned (read FREAKING OUT) about the proposed cuts to science funding in the US 🧪⚛️
Reposted by Maggie Hudson
In #PRXEnergy: An online application translates 10 recent years of data from USGS into country-specific, actionable insights related to global mineral production and reserves, including quantitative metrics of market concentration. platform available: mineral-ai.net. ⚛️ 🧪
🔗 go.aps.org/43G1eYW
🔗 go.aps.org/43G1eYW
April 4, 2025 at 6:13 PM
In #PRXEnergy: An online application translates 10 recent years of data from USGS into country-specific, actionable insights related to global mineral production and reserves, including quantitative metrics of market concentration. platform available: mineral-ai.net. ⚛️ 🧪
🔗 go.aps.org/43G1eYW
🔗 go.aps.org/43G1eYW
Reposted by Maggie Hudson
#PRXEnergy 's first Issue of 2025 is complete! 🧪⚛️ journals.aps.org/prxenergy/is...
⭐️Electolyzers + fuel cells
⭐️Carbon dioxide removal
⭐️Machine learning for renewable+sustainable energy
⭐️Photovoltaics
⭐️Nuclear reactors
⭐️Power grids
⭐️Batteries
⭐️Thermoelectrics
⭐️Electolyzers + fuel cells
⭐️Carbon dioxide removal
⭐️Machine learning for renewable+sustainable energy
⭐️Photovoltaics
⭐️Nuclear reactors
⭐️Power grids
⭐️Batteries
⭐️Thermoelectrics
April 2, 2025 at 6:51 PM
#PRXEnergy 's first Issue of 2025 is complete! 🧪⚛️ journals.aps.org/prxenergy/is...
⭐️Electolyzers + fuel cells
⭐️Carbon dioxide removal
⭐️Machine learning for renewable+sustainable energy
⭐️Photovoltaics
⭐️Nuclear reactors
⭐️Power grids
⭐️Batteries
⭐️Thermoelectrics
⭐️Electolyzers + fuel cells
⭐️Carbon dioxide removal
⭐️Machine learning for renewable+sustainable energy
⭐️Photovoltaics
⭐️Nuclear reactors
⭐️Power grids
⭐️Batteries
⭐️Thermoelectrics
Reposted by Maggie Hudson
In #PRXEnergy: Using crystal structure predictions, ab initio molecular dynamics simulations, and quasi-harmonic free energy calculations, new study finds stable and metastable phases and temperature-induced transitions in silver-based chalcohalide antiperovskites. ⚛️🧪
🔗 go.aps.org/44gK2Js
🔗 go.aps.org/44gK2Js
April 4, 2025 at 6:13 PM
In #PRXEnergy: Using crystal structure predictions, ab initio molecular dynamics simulations, and quasi-harmonic free energy calculations, new study finds stable and metastable phases and temperature-induced transitions in silver-based chalcohalide antiperovskites. ⚛️🧪
🔗 go.aps.org/44gK2Js
🔗 go.aps.org/44gK2Js
Our first issue of 2025 is complete! #PRXEnergy ⚛️🧪
On the cover: Experiments reveal differences in H2 and O2 bubble evolution in an acidic environment, findings that could enable more efficient electrochemical water splitting.
Volume 4, Issue 1: journals.aps.org/prxenergy/is...
On the cover: Experiments reveal differences in H2 and O2 bubble evolution in an acidic environment, findings that could enable more efficient electrochemical water splitting.
Volume 4, Issue 1: journals.aps.org/prxenergy/is...
April 2, 2025 at 5:24 PM
Our first issue of 2025 is complete! #PRXEnergy ⚛️🧪
On the cover: Experiments reveal differences in H2 and O2 bubble evolution in an acidic environment, findings that could enable more efficient electrochemical water splitting.
Volume 4, Issue 1: journals.aps.org/prxenergy/is...
On the cover: Experiments reveal differences in H2 and O2 bubble evolution in an acidic environment, findings that could enable more efficient electrochemical water splitting.
Volume 4, Issue 1: journals.aps.org/prxenergy/is...
Recent publication in #PRXEnergy 🧪⚛️
Using ab initio molecular dynamics simulations, researchers find that the threshold displacement energies for three lead halide perovskites are lower than previously believed, with implications for understanding damage caused by radiation.
🔗 go.aps.org/4i6s93U
Using ab initio molecular dynamics simulations, researchers find that the threshold displacement energies for three lead halide perovskites are lower than previously believed, with implications for understanding damage caused by radiation.
🔗 go.aps.org/4i6s93U
Threshold Displacement Energies in Lead Halide Perovskites from Ab Initio Molecular Dynamics Simulations
To understand the radiation hardness of halide perovskites and their suitability for space-based photovoltaics, $a\phantom{\rule{0}{0ex}}b\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}n\phantom{\rule...
go.aps.org
March 5, 2025 at 5:56 PM
Recent publication in #PRXEnergy 🧪⚛️
Using ab initio molecular dynamics simulations, researchers find that the threshold displacement energies for three lead halide perovskites are lower than previously believed, with implications for understanding damage caused by radiation.
🔗 go.aps.org/4i6s93U
Using ab initio molecular dynamics simulations, researchers find that the threshold displacement energies for three lead halide perovskites are lower than previously believed, with implications for understanding damage caused by radiation.
🔗 go.aps.org/4i6s93U
New in #PRXEnergy 🧪⚛️
A “constant-current” nonequilibrium molecular dynamics simulation method that accurately and efficiently calculates correlated ionic conductivity in lithium lanthanum zirconate could enhance the search for new materials that have high ionic conductivity.
go.aps.org/4i4r4tf
A “constant-current” nonequilibrium molecular dynamics simulation method that accurately and efficiently calculates correlated ionic conductivity in lithium lanthanum zirconate could enhance the search for new materials that have high ionic conductivity.
go.aps.org/4i4r4tf
Constant-Current Nonequilibrium Molecular Dynamics Approach for Accelerated Computation of Ionic Conductivity Including Ion-Ion Correlation
A new ``constant-current'' nonequilibrium molecular dynamics simulation method accelerates ionic conductivity calculations by up to two orders of magnitude while accurately capturing ion-ion correlati...
go.aps.org
March 4, 2025 at 9:27 PM
New in #PRXEnergy 🧪⚛️
A “constant-current” nonequilibrium molecular dynamics simulation method that accurately and efficiently calculates correlated ionic conductivity in lithium lanthanum zirconate could enhance the search for new materials that have high ionic conductivity.
go.aps.org/4i4r4tf
A “constant-current” nonequilibrium molecular dynamics simulation method that accurately and efficiently calculates correlated ionic conductivity in lithium lanthanum zirconate could enhance the search for new materials that have high ionic conductivity.
go.aps.org/4i4r4tf
New in #PRXEnergy
A review from @hoyegroupox.bsky.social and colleagues on atmospheric pressure spatial atomic layer deposition for growing oxides, metals, and nitrides, discussing recent progress in materials for photovoltaics, light-emitting diodes, and batteries.
🔗 go.aps.org/3EDwf51 🧪
A review from @hoyegroupox.bsky.social and colleagues on atmospheric pressure spatial atomic layer deposition for growing oxides, metals, and nitrides, discussing recent progress in materials for photovoltaics, light-emitting diodes, and batteries.
🔗 go.aps.org/3EDwf51 🧪
Spatial Atomic Layer Deposition for Energy and Electronic Devices
This Review describes the promise of atmospheric pressure spatial atomic layer deposition (SALD) for the precise manufacture of thin films at scale. Case studies of SALD for energy conversion and stor...
go.aps.org
February 19, 2025 at 4:37 PM
New in #PRXEnergy
A review from @hoyegroupox.bsky.social and colleagues on atmospheric pressure spatial atomic layer deposition for growing oxides, metals, and nitrides, discussing recent progress in materials for photovoltaics, light-emitting diodes, and batteries.
🔗 go.aps.org/3EDwf51 🧪
A review from @hoyegroupox.bsky.social and colleagues on atmospheric pressure spatial atomic layer deposition for growing oxides, metals, and nitrides, discussing recent progress in materials for photovoltaics, light-emitting diodes, and batteries.
🔗 go.aps.org/3EDwf51 🧪
Special report in #PRXEnergy
A report underscores the importance of large-scale implementation of #CarbonDioxide removal technologies in meeting carbon dioxide management targets, emphasizing that reducing carbon dioxide emissions must remain a top priority to meet #ClimateGoals
go.aps.org/4aSGCOu
A report underscores the importance of large-scale implementation of #CarbonDioxide removal technologies in meeting carbon dioxide management targets, emphasizing that reducing carbon dioxide emissions must remain a top priority to meet #ClimateGoals
go.aps.org/4aSGCOu
Atmospheric Carbon Dioxide Removal: A Physical Science Perspective
A report on atmospheric carbon dioxide removal (CDR) underscores the importance of CDR technologies in meeting carbon dioxide management targets, while emphasizing that reducing carbon dioxide emissio...
go.aps.org
February 11, 2025 at 6:07 PM
Special report in #PRXEnergy
A report underscores the importance of large-scale implementation of #CarbonDioxide removal technologies in meeting carbon dioxide management targets, emphasizing that reducing carbon dioxide emissions must remain a top priority to meet #ClimateGoals
go.aps.org/4aSGCOu
A report underscores the importance of large-scale implementation of #CarbonDioxide removal technologies in meeting carbon dioxide management targets, emphasizing that reducing carbon dioxide emissions must remain a top priority to meet #ClimateGoals
go.aps.org/4aSGCOu
New paper in #PRXEnergy:
Using three benchmark power grid networks, new study shows how a long short-term memory architecture, a machine learning framework, can locate disturbances and reconstruct the complete dynamical state of a power grid from partial and noisy observations.
go.aps.org/4hteXWT
Using three benchmark power grid networks, new study shows how a long short-term memory architecture, a machine learning framework, can locate disturbances and reconstruct the complete dynamical state of a power grid from partial and noisy observations.
go.aps.org/4hteXWT
Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning
Using data-driven machine learning models, this work demonstrates a method to map the dynamical state of a full power grid from limited observations, enabling the user to locate disruptions with infor...
go.aps.org
February 4, 2025 at 9:45 PM
New paper in #PRXEnergy:
Using three benchmark power grid networks, new study shows how a long short-term memory architecture, a machine learning framework, can locate disturbances and reconstruct the complete dynamical state of a power grid from partial and noisy observations.
go.aps.org/4hteXWT
Using three benchmark power grid networks, new study shows how a long short-term memory architecture, a machine learning framework, can locate disturbances and reconstruct the complete dynamical state of a power grid from partial and noisy observations.
go.aps.org/4hteXWT
Reposted by Maggie Hudson
New paper, just published in Physical Review X Energy, on the muography of the G3 nuclear reactor
by Baptiste Lefevre and co-authors
doi.org/10.1103/PRXE... ⚛️🧪
The visualization software I developed for #Cosmology contributed in the mapping of the inner, inaccessible structure of the reactor.
by Baptiste Lefevre and co-authors
doi.org/10.1103/PRXE... ⚛️🧪
The visualization software I developed for #Cosmology contributed in the mapping of the inner, inaccessible structure of the reactor.
January 28, 2025 at 6:35 PM
New paper, just published in Physical Review X Energy, on the muography of the G3 nuclear reactor
by Baptiste Lefevre and co-authors
doi.org/10.1103/PRXE... ⚛️🧪
The visualization software I developed for #Cosmology contributed in the mapping of the inner, inaccessible structure of the reactor.
by Baptiste Lefevre and co-authors
doi.org/10.1103/PRXE... ⚛️🧪
The visualization software I developed for #Cosmology contributed in the mapping of the inner, inaccessible structure of the reactor.
New paper in #PRXEnergy:
Scientists have used muon tomography to produce a 3D reconstruction of the decommissioned Natural-Uranium Graphite and Gas (UNGG) nuclear reactor in France, demonstrating the potential of the technique to assess its internal structure.
🔗 go.aps.org/3Eb83qq
Scientists have used muon tomography to produce a 3D reconstruction of the decommissioned Natural-Uranium Graphite and Gas (UNGG) nuclear reactor in France, demonstrating the potential of the technique to assess its internal structure.
🔗 go.aps.org/3Eb83qq
3D Reconstruction of a Nuclear Reactor by Muon Tomography: Structure Validation and Anomaly Detection
Muon tomography, a non-invasive technique that can be used to image large, inaccessible structures, is combined with machine learning to create a 3D reconstruction of a historical nuclear reactor that...
go.aps.org
February 3, 2025 at 6:18 PM
New paper in #PRXEnergy:
Scientists have used muon tomography to produce a 3D reconstruction of the decommissioned Natural-Uranium Graphite and Gas (UNGG) nuclear reactor in France, demonstrating the potential of the technique to assess its internal structure.
🔗 go.aps.org/3Eb83qq
Scientists have used muon tomography to produce a 3D reconstruction of the decommissioned Natural-Uranium Graphite and Gas (UNGG) nuclear reactor in France, demonstrating the potential of the technique to assess its internal structure.
🔗 go.aps.org/3Eb83qq
New paper in #PRXEnergy: By combining Bayesian inference, a Markov-Chain Monte Carlo algorithm, and a physical model to analyze time-resolved photoluminescence data, this study shows how to infer a number of parameters that dictate performance in metal halide perovskite devices.
go.aps.org/4gRJMEx
go.aps.org/4gRJMEx
Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference
Experiment and machine learning are combined to extract key material parameters and insight into charge carrier transport in metal halide perovskites for solar cell applications.
go.aps.org
January 14, 2025 at 7:34 PM
New paper in #PRXEnergy: By combining Bayesian inference, a Markov-Chain Monte Carlo algorithm, and a physical model to analyze time-resolved photoluminescence data, this study shows how to infer a number of parameters that dictate performance in metal halide perovskite devices.
go.aps.org/4gRJMEx
go.aps.org/4gRJMEx