A Stochastic Gradient Descent Approach for Stochastic Optimal Control
East Asian Journal on Applied Mathematics, 2020 Summary: In this work, we introduce a stochastic gradient descent approach to solve the stochastic optimal control problem through stochastic maximum principle. The motivation that drives our method is the gradient of the cost functional in the stochastic optimal control problem is under expectation, and numerical calculation of such an expectation ...
Archibald, Richard +2 more
openaire +2 more sources
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Efficient preconditioned stochastic gradient descent for estimation in latent variable models [PDF]
, 2023 Charlotte Baey +4 more
openalex +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data [PDF]
, 2022 Wenbin Li, Kangzhi Wang, Tingting Fan
openalex +1 more source
Advanced Materials, EarlyView.Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier +10 more
wiley +1 more source
Néel Tensor Torque in Polycrystalline Antiferromagnets
Advanced Materials, EarlyView.This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang +4 more
wiley +1 more source
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent [PDF]
, 2022 Yu Da +5 more
openalex +1 more source
A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening
Advanced Materials, EarlyView.A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder +3 more
wiley +1 more source
Stochastic Gradient Descent Algorithm with Multiple Adaptive Learning Rate for Deep Learning
, 2023 Yeong Lin Koay +4 more
openalex +1 more source