Energy-landscape nexus: Advancing a Conceptual Framework for the Design of Sustainable Energy Landscapes

Specifics ◽  
2021 ◽  
pp. 391-397
Author(s):  
Sven Stremke
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Nikolaos Vasios ◽  
Bolei Deng ◽  
Benjamin Gorissen ◽  
Katia Bertoldi

AbstractMulti-welled energy landscapes arising in shells with nonzero Gaussian curvature typically fade away as their thickness becomes larger because of the increased bending energy required for inversion. Motivated by this limitation, we propose a strategy to realize doubly curved shells that are bistable for any thickness. We then study the nonlinear dynamic response of one-dimensional (1D) arrays of our universally bistable shells when coupled by compressible fluid cavities. We find that the system supports the propagation of bidirectional transition waves whose characteristics can be tuned by varying both geometric parameters as well as the amount of energy supplied to initiate the waves. However, since our bistable shells have equal energy minima, the distance traveled by such waves is limited by dissipation. To overcome this limitation, we identify a strategy to realize thick bistable shells with tunable energy landscape and show that their strategic placement within the 1D array can extend the propagation distance of the supported bidirectional transition waves.


2019 ◽  
Vol 1 (5) ◽  
pp. 1924-1935
Author(s):  
Sergio Conejeros ◽  
Neil L. Allan ◽  
Frederik Claeyssens ◽  
Judy N. Hart

Ab initio energy landscapes of thin ZnO and ZnS films reveal new structures, non-stoichiometry and different behaviour of adsorbed water.


2014 ◽  
Vol 86 (6) ◽  
pp. 883-898 ◽  
Author(s):  
Martin Jansen

AbstractSynthesis of novel solids, in a chemical sense, is one of the spearheads of innovation in materials research. However, such an undertaking is substantially impaired by lack of control and predictability. We present a concept that points the way towards rational planning of syntheses in solid state and materials chemistry. The foundation of our approach is the representation of the whole material world, i.e., the known and not-yet-known chemical compounds, on an energy landscape, which implies information about the free energies of these configurations. From this it follows at once that all chemical compounds capable of existence (both thermodynamically stable and metastable ones) are already present in virtuo in this landscape. For the first step of synthesis planning, i.e., the identification of candidates that are capable of existence, we computationally search the respective potential energy landscapes for (meta)stable structure candidates. Recently we have extended our techniques to finite temperatures and pressures and calculated phase diagrams, including metastable manifestations of matter, without resorting to any experimental pre-information. The conception developed is physically consistent, and its feasibility has been proven. Applying appropriate experimental tools has enabled us to realize, e.g., elusive Na3 N, including almost all of its predicted polymorphs, many years after the predictions were published.


Author(s):  
C. Austen Angell

We describe basic phenomenology in the physics of supercooling liquids at constant volume (most simulations), and at constant pressure (most laboratory experiments) before focusing attention on the exceptional cases that exhibit liquid–liquid phase transitions on constant–pressure cooling. We give evidence for point defects in glasses and liquids near T g . Models based on defects predict transitions with density gaps in constant–pressure systems. We describe the energy landscape representation of such systems. Water, in these terms, is post–critical, and its nearly ideal glass formation can be related to nucleation–free protein ‘funnel–folding’. For nucleated folding of proteins, a pseudo–gap should be present. Experimental methods of distinguishing between alternative folding scenarios are described.


2019 ◽  
Author(s):  
Dominik Krzemiński ◽  
Naoki Masuda ◽  
Khalid Hamandi ◽  
Krish D Singh ◽  
Bethany Routley ◽  
...  

AbstractJuvenile myoclonic epilepsy (JME) is a form of idiopathic generalized epilepsy affecting brain activity. It is unclear to what extent JME leads to abnormal network dynamics across functional networks. Here, we proposed a method to characterise network dynamics in MEG resting-state data, combining a pairwise maximum entropy model (pMEM) and the associated energy landscape analysis. Fifty-two JME patients and healthy controls underwent a resting-state MEG recording session. We fitted the pMEM to the oscillatory power envelopes in theta (4-7 Hz), alpha (8-13 Hz), beta (15-25 Hz) and gamma (30-60 Hz) bands in three source-localised resting-state networks: the frontoparietal network (FPN), the default mode network (DMN), and the sensorimotor network (SMN). The pMEM provided an accurate fit to the MEG oscillatory activity in both patient and control groups, and allowed estimation of the occurrence probability of each network state, with its regional activity and pairwise regional co-activation constrained by empirical data. We used energy values derived from the pMEM to depict an energy landscape of each network, with a higher energy state corresponding to a lower occurrence probability. When comparing the energy landscapes between groups, JME patients showed fewer local energy minima than controls and had elevated energy values for the FPN within the theta, beta and gamma-bands. Furthermore, numerical simulation of the fitted pMEM showed that the proportion of time the FPN was occupied within the basins of characteristic energy minima was shortened in JME patients. These network alterations were confirmed by a significant leave-one-out classification of individual participants based on a support vector machine employing the energy values of pMEM as features. Our findings suggested that JME patients had altered multi-stability in selective functional networks and frequency bands in the frontoparietal cortices.HighlightsAn energy landscape analysis characterises the dynamics of MEG oscillatory activityPatients with JME exhibit fewer local minima of the energy in their energy landscapesJME affects the network dynamics in the frontoparietal network.Energy landscape measures allow good single-patient classification.


2021 ◽  
Author(s):  
Antonio B. Oliveira ◽  
Xingcheng Lin ◽  
Prakash Kulkarni ◽  
José N. Onuchic ◽  
Susmita Roy ◽  
...  

AbstractIntrinsically disordered proteins (IDPs) lack a rigid 3D structure and populate a polymorphic ensemble of conformations. Because of the lack of a reference conformation, their energy landscape representation in terms of reaction coordinates presents a daunting challenge. Here, our newly developed Energy Landscape Visualization Method (ELViM), a reaction coordinate-free approach, shows its prime application to explore frustrated energy landscapes of an intrinsically disordered protein, Prostate-Associated Gene 4 (PAGE4). PAGE4 is a transcriptional coactivator that potentiates the oncogene c-Jun. Two kinases, namely HIPK1 and CLK2, phosphorylate PAGE4 generating variants phosphorylated at different serine/threonine residues (HIPK1-PAGE4 and CLK2-PAGE4, respectively) with opposing functions. While HIPK1-PAGE4 predominantly phosphorylates Thr51 and potentiates c-Jun, CLK2-PAGE4 hyper-phosphorylates PAGE4 and attenuates transactivation. To understand the underlying mechanisms of conformational diversity among different phosphoforms, we have analyzed their atomistic trajectories simulated using AWSEM forcefield and the energy landscapes were elucidated using ELViM. This method allows us to identify and compare the population distributions of different conformational ensembles of PAGE4 phosphoforms using the same effective phase space. The results reveal a predominant conformational ensemble with an extended C-terminal segment of WT PAGE4, which exposes a functional residue Thr51, implying its potential of undertaking a fly-casting mechanism while binding to its cognate partner. In contrast, for HIPK1-PAGE4, a compact conformational ensemble enhances its population sequestering phosphorylated-Thr51. This clearly explains the experimentally observed weaker affinity of HIPK1-PAGE4 for c-Jun. ELViM appears as a powerful tool especially to analyze the highly-frustrated energy landscape representation of IDPs where appropriate reaction coordinates are hard to apprehend.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paolo Picchi ◽  
Simone Verzandvoort ◽  
Davide Geneletti ◽  
Kees Hendriks ◽  
Sven Stremke

PurposeThe transition to a low carbon future is an emerging challenge and requires the planning and designing of sustainable energy landscapes – landscapes that provide renewable energy while safeguarding the supply of other ecosystem services. The aim of this paper is to present the application of an ecosystem services trade-off assessment in the development of sustainable energy landscapes for long-term strategic planning in a case study in Schouwen-Duivenland, The Netherlands.Design/methodology/approachThe application consists in three activities: in (1) stakeholder mapping hot spots of ecosystem services and renewable energy technologies in a workshop, (2) landscape design principles being discussed by a focus group, (3) experts gathering the information and proceeding with an assessment of the potential synergies and trade-offs.FindingsThe case study indicates that (1) deploying the ecosystem services framework in planning and design can enhance the development of sustainable energy landscapes, (2) diversified and accurate spatial reference systems advance the trade-off analysis of both regulating and cultural ecosystem services and (3) the involvement of local stakeholders can advance the trade-off analysis and, ultimately, facilitates the transition to a low-carbon future with sustainable energy landscapes.Originality/valueThe originality of this research lies in the creation of an approach for the deployment of ecosystem services in the planning and design of energy transition. This is useful to advance energy transition by enhancing research methods, by providing methods useful for planners and designers and by supporting communities pursuing energy self-sufficiency in a sustainable manner.


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