Results 161 to 170 of about 2,858,490 (288)

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Rational drug therapy education in clinical phase carried out by task-based learning.

Indian J Pharmacol, 2017
Bilge SS, Akyüz B, Ağrı AE, Özlem M.
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Enhancing IELTS writing automated scoring with M-LoRA fine-tuned LLAMA-3 and human feedback-driven PPO reinforcement learning. [PDF]

Sci Rep
Xu W, Kassim MSS, Mahmud R.
europepmc   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Contextual inference through flexible integration of environmental features and behavioural outcomes. [PDF]

PLoS Comput Biol
Passlack J, MacAskill AF.
europepmc   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading. [PDF]

Sensors (Basel)
Li H, Wang Y, Liu H, Li J, Wang X, Lei Q, Xiao K, Zhu H.   +7 more
europepmc   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Karl Jonas Riisnaes, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

It is a matter of size-manipulating body size with virtual reality modulates reward sensitivity. [PDF]

Sci Rep
Pia L, Freedberg M, Pyasik M, Boarini R, Holcomb AN, Lanza CM, Zampini M, Schintu S.   +7 more
europepmc   +1 more source