Results 91 to 100 of about 66,510 (262)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Controlled Reflected McKean–Vlasov SDEs and Neumann Problem for Backward SPDEs

Mathematics
This paper is concerned with the stochastic optimal control problem of a 1-dimensional McKean–Vlasov stochastic differential equation (SDE) with reflection, of which the drift coefficient and diffusion coefficient can be both dependent on the state of ...
Li Ma, Fangfang Sun, Xinfang Han
doaj   +1 more source

Optimal control of stochastic dynamical systems

Information and Control, 1973
In this paper the question of existence of stochastic optimal controls for a large class of stochastic differential systems with finite memory is considered.A generalized system of stochastic controls taking values almost surely in a w*-compact set K ⊂ L∞(I, Er) is introduced. This class of controls is very general.
openaire   +2 more sources

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Supervised Learning for Stochastic Optimal Control

2024 IEEE 63rd Conference on Decision and Control (CDC)
CDC ...
Vince Kurtz, Joel W. Burdick
openaire   +2 more sources

Reprogramming the Immunosuppressive Microenvironment in Triple‐Negative Breast Cancer via FAP‐Targeted Nanoprobes for Multimodal Imaging and Photothermal Therapy

Advanced Materials, EarlyView.
Targeting cancer‐associated fibroblasts (CAFs) with fibroblast activation protein (FAP)‐directed nanoprobes for multimodal imaging and photothermal remodeling of the immunosuppressive microenvironment to enhance immunotherapy in triple‐negative breast cancer (TNBC).
Ling Zhan, Yanhong Chen, Jingjing Hu, Chunting Wang, Huanhuan Liu, Defan Yao, Dengbin Wang   +6 more
wiley   +1 more source

From Payload‐First Toward Dual‐Mechanism Antibody–Drug Conjugates

Advanced Materials, EarlyView.
Conjugation converts potent antibodies into underexposed carriers. This perspective defines the antibody exposure deficit and maps a mechanism‐first design space from payload‐first to antibody‐first ADC architectures, integrating DAR, linker chemistry, and Fc engineering to guide rational design of constructs that balance targeted cytotoxicity with ...
Xavier Pivot, Sebastian Jung, Sébastien Harlepp, Alexandre Detappe   +3 more
wiley   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation

Advanced Materials, EarlyView.
A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas, Ingo Nettersheim, Jeong‐Joo Oh, Marie‐Eve Aubin‐Tam, Julie Teuwen, Kunal Masania   +5 more
wiley   +1 more source