| Size-dependent stochastic tensile properties in additively manufactured 316L stainless steel AM Roach, BC White, A Garland, BH Jared, JD Carroll, BL Boyce Additive Manufacturing 32, 101090, 2020 | 127 | 2020 |
| Pragmatic generative optimization of novel structural lattice metamaterials with machine learning AP Garland, BC White, SC Jensen, BL Boyce Materials & Design 203, 109632, 2021 | 90 | 2021 |
| Interpenetrating lattices with enhanced mechanical functionality BC White, A Garland, R Alberdi, BL Boyce Additive Manufacturing 38, 101741, 2021 | 77 | 2021 |
| Design and manufacturing functionally gradient material objects with an off the shelf three-dimensional printer: challenges and solutions A Garland, G Fadel Journal of Mechanical Design 137 (11), 111407, 2015 | 75 | 2015 |
| Deep convolutional neural networks as a rapid screening tool for complex additively manufactured structures AP Garland, BC White, BH Jared, M Heiden, E Donahue, BL Boyce Additive Manufacturing 35, 101217, 2020 | 48 | 2020 |
| Coulombic friction in metamaterials to dissipate mechanical energy AP Garland, KM Adstedt, ZJ Casias, BC White, WM Mook, B Kaehr, ... Extreme Mechanics Letters 40, 100847, 2020 | 43 | 2020 |
| Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains NK Brown, AP Garland, GM Fadel, G Li Materials & Design 218, 110672, 2022 | 38 | 2022 |
| Topological homogenization of metamaterial variability BC White, A Garland, BL Boyce Materials Today 53, 16-26, 2022 | 16 | 2022 |
| Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses NK Brown, AP Garland, GM Fadel, G Li Engineering Applications of Artificial Intelligence 126, 106998, 2023 | 13 | 2023 |
| Optimizing topology and gradient orthotropic material properties under multiple loads A Garland, G Fadel Journal of Computing and Information Science in Engineering 19 (2), 021007, 2019 | 12 | 2019 |
| Affordance based interactive genetic algorithm (ABIGA) I Mata, G Fadel, A Garland, W Zanker Design Science 4, e5, 2018 | 10 | 2018 |
| Evaluation of humans and software for grading in an engineering 3D CAD course AP Garland, SJ Grigg 2019 ASEE Annual Conference & Exposition, 2019 | 9 | 2019 |
| Toughening by interpenetrating lattices BC White, A Garland, BL Boyce Matter 6 (2), 570-582, 2023 | 7 | 2023 |
| Manufacturing Functionally Gradient Material Objects with an off the Shelf 3D printer: Challenges and Solutions A Garland, G Fadel | 7* | |
| Parametric reduced-order modeling for component-oriented treatment and localized nonlinear feature inclusion K Vlachas, A Garland, DD Quinn, E Chatzi Nonlinear Dynamics 112 (5), 3399-3420, 2024 | 6 | 2024 |
| Deep reinforcement learning for the design of mechanical metamaterials with tunable deformation and hysteretic characteristics NK Brown, A Deshpande, A Garland, SA Pradeep, G Fadel, S Pilla, G Li Materials & Design 235, 112428, 2023 | 6 | 2023 |
| Design of a single layer metamaterial for pressure offloading of transtibial amputees N Brown, MK Owen, A Garland, JD DesJardins, GM Fadel Journal of Biomechanical Engineering 143 (5), 051001, 2021 | 6 | 2021 |
| Sizedependent stochastic tensile properties in additively manufactured 316L stainless steel, Addit. Manuf. 32 (2020), 101090 AM Roach, BC White, A Garland, BH Jared, JD Carroll, BL Boyce | 6 | 2020 |
| Multi-Objective Optimal Design of Functionally Gradient Materials A Garland, G Fadel International Design Engineering Technical Conferences and Computers and …, 2016 | 6 | 2016 |
| Challenges in Designing and Manufacturing Fully Optimized Functional Gradient Material Objects A Garland, G Mocko, G Fadel International Design Engineering Technical Conferences and Computers and …, 2014 | 6 | 2014 |
Brad L. BoyceSandia National Laboratories在 sandia.gov 的電子郵件地址已通過驗證
