An Accurate and Efficient Reaction Path Search with Iteratively Trained Neural Network Potential: Answering the Passerini Mechanism Controversy. [PDF]
Staub R +4 more
europepmc +1 more source
Strain‐Activated Photo‐Dehalogenation Unlocks Low‐Energy One and Two‐Photon 3D Microfabrication
5,14‐NMI‐Cz acts, conversely to its 7,10‐NMI‐Cz(7,10‐'dibromo‐2‐(2,6‐diisopropylphenyl)‐1H‐benzo[lmn]carbazolo[9,1‐bc][2,8]phenanthroline‐1,3(2H)‐dione) counterpart, as modular photoinitiator with panchromatic photoactivity, featuring a weak C–Br bond from geometric strain for efficient Type I & II initiation. These studies demonstrate applicability of
Kacper Piskorz +10 more
wiley +1 more source
Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium. [PDF]
Fletcher VG, Bartók AP, Pártay LB.
europepmc +1 more source
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Interpretable machine learning integrated with TD-DFT descriptors and SHAP analysis for predicting the maximum absorption wavelength of azo dyes. [PDF]
Fang Y +5 more
europepmc +1 more source
Joint DFT and Spacetime Coding for MU-OFDM in Power-Constrained Optical Wireless Communication Systems [PDF]
Dianbin Lian, Yan Gao, Jie Lian, Yong Li
openalex +1 more source
The Bethe-Salpeter equation in chemistry: relations with TD-DFT, applications and challenges.
X. Blase, I. Duchemin, D. Jacquemin
semanticscholar +1 more source
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 more
wiley +1 more source
Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Data set Generation for Training Machine-Learned Interatomic Potentials. [PDF]
Lahouari A, Rogal J, Tuckerman ME.
europepmc +1 more source

