Results 161 to 170 of about 2,283,559 (289)

Drilling Sequence Optimization Using Evolutionary Algorithms to Reduce Heat Accumulation for Femtosecond Laser Drilling with Multi-Spot Beam Profiles. [PDF]

Materials (Basel), 2023
Lutz C, Helm J, Tschirpke K, Esen C, Hellmann R.   +4 more
europepmc   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Computational framework for multi-objective optimization of activated biochar properties using machine learning and evolutionary algorithms. [PDF]

Sci Rep
Rabbi MF.
europepmc   +1 more source

Optimization of hydropower energy generation by 14 robust evolutionary algorithms. [PDF]

Sci Rep, 2022
Sharifi MR, Akbarifard S, Madadi MR, Qaderi K, Akbarifard H.   +4 more
europepmc   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Multi-objective worst case optimization by means of evolutionary algorithms [PDF]

Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon, Branke, Jürgen, Moshaiov, Amiram   +2 more
core  

Generating borderline test samples for randomness testers via intelligent optimization and evolutionary algorithms. [PDF]

Sci Rep
Gao P, Zhang B, Wang Z, Li C.
europepmc   +1 more source

Multi-objective optimization of root phenotypes for nutrient capture using evolutionary algorithms. [PDF]

Plant J, 2022
Rangarajan H, Hadka D, Reed P, Lynch JP.
europepmc   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Routing and Scheduling in Time-Sensitive Networking by Evolutionary Algorithms. [PDF]

Biomimetics (Basel)
Wang Z, Liao W, Xia X, Wang Z, Duan Y.
europepmc   +1 more source