Results 151 to 160 of about 10,589,634 (292)

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Reliability Analysis of Semiconductor Material Processing for Advanced Integrated Circuit Chip Manufacturing. [PDF]

Micromachines (Basel)
Zhang Y, Jiang S, Zhang D.
europepmc   +1 more source

Uniaxial Strain‐Driven Ferroelastic Domain Tuning in LaAlO3${\rm LaAlO}_3$

Advanced Science, EarlyView.
The present work demonstrates based on AFM, μ$\umu$‐Raman spectroscopy, XRD, and first‐principles, that uniaxial strain provides a handle for tuning the ferroelastic domain populations in lanthanum aluminate, driving a continuous and controlled phase transition from a four‐variant rhombohedral crystal system to a two‐variant orthorhombic crystal system
Matthias Roeper, Robin Buschbeck, Jakob Wetzel, Tobias Ritschel, Anna‐Lena Hofmann, Vladyslav Kovtunovych, Mike N. Pionteck, Javier Taboada‐Gutiérrez, Alexey B. Kuzmenko, Martina Basini, Vivek Unikandanunni, Iuliia Kiseleva, Jochen Geck, Susanne C. Kehr, Maximilian Lederer, Simone Sanna, Lukas M. Eng, Samuel D. Seddon   +17 more
wiley   +1 more source

Optimal Combination of Measures for Flood Risk Mitigation Within Probabilistic and Uncertain Situations. [PDF]

Risk Anal
Zhou Z, Chen Z, Yi C, Liu B, Chen Y, Zhao Y.   +5 more
europepmc   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

HCQ-SGuA: A Plant-Growth-Inspired Hybrid Saplings Growing Up Algorithm with Quasi-Random Initialization and Chaotic Operator Control for Continuous Optimization. [PDF]

Biomimetics (Basel)
Seyyarer E.
europepmc   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

Advanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer, Juan P. Martinez, Yuxuan He, Giulio Galderisi, Katrin Pingen, Eduardo Sergio Oliveros‐Mata, Lisa Tellis, Cigdem Cakirlar, Christoph Beyer, Brojogopal Sapui, Joachim Knoch, Klaus Hofmann, Sandro Carrara, Eugenio Cantatore, Max C. Lemme, Ian O'Connor, Akash Kumar, Andre Heinzig, Thomas Mikolajick, Walter M. Weber   +19 more
wiley   +1 more source

Agentic LLM Compilation of Adaptive Sampling Policies for Low-Power IoT Sensing. [PDF]

Sensors (Basel)
Boyouk N, Behnamian S, Koohi Habibi Dehkordi M.   +2 more
europepmc   +1 more source

Agency budget plan State Library Fiscal Year 2014-15

, 2014
The South Carolina State Library submitted to the South Carolina Budget and Control Board, Office of State Budget an annual budget plan with summary of agency's request, program revision request, capital or non-recurring requests, and/or proviso revision
South Carolina Budget and Control Board, Office of State Budget
core  

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

Advanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues, Andrea Grimaldi, Deborah Volpe, Youwei Bao, Shuhan Yang, Eleonora Grassucci, Giulio Siracusano, Massimo Chiappini, Mario Carpentieri, Hyunsoo Yang, Giovanni Finocchio   +10 more
wiley   +1 more source